intervals.lmList            package:nlme            R Documentation

_C_o_n_f_i_d_e_n_c_e _I_n_t_e_r_v_a_l_s _o_n _l_m_L_i_s_t _C_o_e_f_f_i_c_i_e_n_t_s

_D_e_s_c_r_i_p_t_i_o_n:

     Confidence intervals on the linear model coefficients are obtained
     for each 'lm' component of 'object' and organized into a three
     dimensional array. The first dimension corresponding to the names
     of the 'object' components. The second dimension is given by
     'lower', 'est.', and 'upper' corresponding, respectively, to the
     lower confidence limit, estimated coefficient, and upper
     confidence limit. The third dimension is given by the coefficients
     names.

_U_s_a_g_e:

     ## S3 method for class 'lmList':
     intervals(object, level, pool, ...)

_A_r_g_u_m_e_n_t_s:

  object: an object inheriting from class 'lmList', representing a list
          of 'lm' objects with a common model. 

   level: an optional numeric value with the confidence level for the
          intervals. Defaults to 0.95. 

    pool: an optional logical value indicating whether a pooled
          estimate of the residual standard error should be used.
          Default is 'attr(object, "pool")'. 

     ...: some methods for this generic require additional arguments. 
          None are used in this method.

_V_a_l_u_e:

     a three dimensional array with the confidence intervals and
     estimates for the coefficients of each 'lm' component of 'object'.

_A_u_t_h_o_r(_s):

     Jose Pinheiro Jose.Pinheiro@pharma.novartis.com and Douglas Bates
     bates@stat.wisc.edu

_S_e_e _A_l_s_o:

     'lmList', 'plot.intervals.lmList'

_E_x_a_m_p_l_e_s:

     data(Orthodont)
     fm1 <- lmList(distance ~ age | Subject, Orthodont)
     intervals(fm1)

